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Erschienen in:

2019 | OriginalPaper | Buchkapitel

13. Power Management Framework for Post-petascale Supercomputers

verfasst von : Masaaki Kondo, Ikuo Miyoshi, Koji Inoue, Shinobu Miwa

Erschienen in: Advanced Software Technologies for Post-Peta Scale Computing

Verlag: Springer Singapore

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Abstract

Power consumption is a first class design constraint for developing future exascale computing systems. To achieve exascale system performance with realistic power provisioning of 20–30 MW, we need to improve power-performance efficiency significantly compared to today’s supercomputer systems. In order to maximize effective performance within a power constraint, investigating how to optimize power resource allocation to each hardware component or each job submitted to the system is necessary. We have been conducting research and development on a software framework for code optimization and system power management for the power-constraint adaptive systems. We briefly introduce the research efforts for maximizing application performance under a given power constraint, power-aware resource manager, and power-performance simulation and analysis framework for future supercomputer systems.

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Vorheriges Kapitel Software Technology That Deals with Deeper Memory Hierarchy in Post-petascale Era

Nächstes Kapitel Project CASSIA —Framework for Exhaustive and Large-Scale Social Simulation—

Cao, T., He, Y., Kondo, M.: Demand-aware power management for power-constrained HPC systems. In: Proceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid2016), Cartagena, pp. 21–31 (2016)

Cao, T., Huang, W., He, Y., Kondo, M.: Cooling-aware job scheduling and node allocation for overprovisioned HPC systems. In: Prodeedings of 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS 2017), Orlando (2017)

Casanova, H., Giersch, A., Legrand, A., Quinson, M., Suter, F.: Versatile, scalable, and accurate simulation of distributed applications and platforms. J. Parallel Distrib. Comput. 74(10), 2899–2917 (2014)CrossRef

https://github.com/pompp/

Inadomi, Y., Patki, T., Inoue, K., Aoyagi, M., Rountree, B., Schulz, M., Lowenthal, D., Wada, Y., Fukazawa, K., Ueda, M., Kondo, M., Miyoshi, I.: Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC15), Austin (2015)

Intel 64 and IA-32 architectures software developers manual. Intel, vol. 3, Mar 2013

Kogge, P.M.: Architectural challenges at the exascale frontier. In: Simulating the Future: Using One Million Cores and Beyond (invited talk) (2008)

Miwa, S., Aita, S., Nakamura, H.: Performance estimation for high performance computing systems with energy efficient ethernet technology. J. Comput. Sci. Res. Dev. 29(3–4), 161–169 (2014)CrossRef

Miwa, S., Nakamura, H.: Profile-based power shifting in interconnection networks with on/off links. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC15), Austin (2015)

10.

PDT. https://www.cs.uoregon.edu/research/pdt/home.php

11.

Sakamoto, R., Cao, T., Kondo, M., Inoue, K., Ueda, M., Patki, T., Ellsworth, D., Rountree, B., Schulz, M.: Production hardware overprovisioning: real-world performance optimization using an extensible power-aware resource management framework. In: Proceedings of the 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS 2017), Orlando (2017)

12.

Sakamoto, R., Patki, T., Cao, T., Kondo, M., Inoue, K., Ueda, M., Ellsworth, D., Rountree, B., Schulz, M.: Analyzing resource trade-offs in hardware overprovisioned supercomputers. In: Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS2018), Orlando (2017)

13.

Saravanan, K.P., Carpenter, P.M., Ramirez, A.: Power/performance evaluation of energy efficient ethernet (EEE) for high performance computing. In: Proceedings of the 2013 IEEE International Symposium on Performance Analysis of Systems and Software, Austin, pp. 205–214 (2013)

14.

Saravanan, K.P., Carpenter, P.M., Ramirez, A.: A performance perspective on energy efficient HPC links. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC14), New Orleans, pp. 313–322 (2014)

15.

Shende, S.S., Malony, A.D.: The TAU parallel performance system. Int. J. High Perform. Comput. Appl. 20(2) (2006). https://www.cs.uoregon.edu/research/tau/home.php CrossRef

16.

Totoni, E., Jain, N., Kale, L.: Power management of extreme-scale networks with on/off links in runtime systems. ACM Trans. Parallel Comput. 1(2), 16 (2015)CrossRef

17.

Wada, Y., He, Y., Cao, T., Kondo, M.: A power management framework with simple DSL for automatic power-performance optimization on power-constrained HPC systems. In: Proceedings of Supercomputing Asia (SCA18) (2018)

18.

Yoo, A., Jette, M., Grondona, M.: SLURM: simple linux utility for resource management. In: Job Scheduling Strategies for Parallel Processing, Seattle. Lecture Notes in Computer Science, vol. 2862, pp. 44–60 (2003)CrossRef

Titel: Power Management Framework for Post-petascale Supercomputers
verfasst von: Masaaki Kondo
Ikuo Miyoshi
Koji Inoue
Shinobu Miwa
Verlag: Springer Singapore
Buch: Advanced Software Technologies for Post-Peta Scale Computing
Print ISBN: 978-981-13-1923-5

Electronic ISBN: 978-981-13-1924-2

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-981-13-1924-2_13

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